Abstract

Brown planthopper (BPH) is a migrant insect pest and is observed to complete about seven to eight generations in Guangdong Province of China (Bao et al 1996). Its spatial structure and distribution are complex and difficult to predict at a macro-scale level. Early studies tried to describe distribution using classical statistics, neglecting the spatial location of samples and their interdependence. To capture these spatial relations, we have adapted a geostatistical modeling approach to predict the density distribution of BPH.

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